1 to 25 of 4,542 Permanent Python Jobs in England

with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks using scripting (Python, Bash, PowerShell). Maintain documentation of processes, troubleshooting steps, and known issues. Ensure adherence to SLAs and help improve operational support efficiency. Participate in on-call rotations to provide … and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling More ❯

Job Title: Senior Python Developer (Python/Django) Location: Fully Remote Job Type: Full-Time Salary 80k - 100k About the Company: A fast-growing tech company revolutionizing the e-commerce/data analytics sector with cutting-edge software solutions. Join their dynamic engineering team and contribute to innovative projects. Job Description: We're looking for a passionate Python Developer (Python … + years of experience. This role offers the opportunity to work in a fast-paced, collaborative environment and grow your skills. Key Responsibilities: Develop and maintain scalable applications using Python (Django). Build and integrate APIs and third-party services. Participate in Agile development cycles and CI/CD processes. Optimize applications for performance and scalability. Collaborate with cross-functional … teams. Requirements: Computer Science or STEM degree from a top Russell Group University (1st or 2:1). 5+ years of full-stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯

standards for code re-usability and cleanliness We're excited if you have 5+ years of hands-on experience with automation systems 3+ years of programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks More ❯

environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep … Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential … testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team More ❯

with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks using scripting (Python, Bash, PowerShell). Maintain documentation of processes, troubleshooting steps, and known issues. Ensure adherence to SLAs and help improve operational support efficiency. Participate in on-call rotations to provide … Unix and Windows environments. Familiarity with cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling More ❯

experience and career development this role could be for you. Key Responsibilities What Makes a Great Candidate Proficiency in PowerShell or other scripting languages Experience with C#, Java, or Python, or the ability to code Knowledge of Infrastructure as Code tools like Ansible, Terraform, or similar Experience with containerization (Docker) and orchestration (Kubernetes or Docker Swarm) Familiarity with monitoring tools More ❯

access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/ More ❯

or streaming Agile Delivery: Significant experience in scoping and development of technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience More ❯

in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. What’s in it More ❯

or streaming Agile Delivery: Significant experience in scoping and development of technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience More ❯

This role is Hybrid and requires occasional attendance to the Manchester HQ office. Job Title: Python Software Engineer Location: Manchester Job Type: Full-time, permanent Salary: Up to £65,000 + Bonus About the business This FinTech organisation are one of Manchester's fastest-growing scale up comany's who are on a mission to beacome the market leader in … best that it can be Join them to work on high-impact projects in a collaborative, innovation-driven environment. Role Overview They are looking for a passionate and experienced Python Software Engineer to help design, develop, and maintain robust backend systems and APIs. You’ll work closely with product managers, data scientists, and other engineers to deliver reliable, scalable, and … for maximum speed and scalability. Participate in code reviews and contribute to best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills & Qualifications 3+ years of professional experience in Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or More ❯

organisation, including executive tasks and decisions. Our multidisciplinary team offers flexibility for individuals to move between core engineering, infrastructure, testing and research. Our stack includes Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure - exploring frameworks like Hugging … to keep us moving forward. You might be a good fit if: 4+ years of software engineering experience. Expert-level ability in a server-side language such as Go, Python or Java. Solid experience across multiple areas of the stack - front end and back end. Strong relational database knowledge, including schema design and optimisation. Proficient with source control (Git/ More ❯

AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/ More ❯

such as RDS, DynamoDB, Cloud SQL, or Cosmos DBStrong skills with Infrastructure as Code (Terraform, CloudFormation, etc.) and containerisation (Docker, Kubernetes)A solid command of scripting languages such as Python, Bash, or PowerShell Good knowledge of both SQL and NoSQL database modelsExperience with CI/CD, Git, and configuration management tools Nice-to-haves include cloud/database certifications, experience More ❯

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by More ❯

Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science, Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. •Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate More ❯

maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. •Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate More ❯

maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. •Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate More ❯

Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts More ❯